Bo-Dun Zhu

Attention-based self-learning graph neural networks for robust multi-node water quality prediction

An Attention-based Multivariate Time Series Graph Neural Network (AMTGNN) is proposed for multi-node water quality prediction, which dynamically learns the correlations between different locations to jointly model temporal and spatial dependencies for improved prediction accuracy and robustness.